Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates must possess a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field, coupled with over 5 years of experience in AI development. Proficiency in programming languages like Python, Java, or Scala, and expert knowledge of machine learning frameworks such as TensorFlow, Keras, or PyTorch are essential. Experience with NLP and computer vision techniques, an understanding of data preprocessing and visualization, and familiarity with MLOps practices are also required. The ability to communicate complex ideas clearly within a team is necessary.
The Senior AI Developer will design, develop, and deploy AI solutions, including innovative AI models and algorithms tailored to business needs. This role involves collaborating with cross-functional teams to define project objectives, deliver high-quality AI solutions, and optimize machine learning models for performance and scalability. Responsibilities also include participating in code reviews and architecture discussions, staying updated on AI advancements, and mentoring junior team members.
Global alternative asset management firm
Blackstone is a leader in alternative asset management, focusing on private equity, real estate, and credit investments. The firm manages over $1.1 trillion in assets and partners with financial advisors to provide access to private markets, aiming to create strong businesses that deliver lasting value. Its main products, BREIT and BCRED, cater to income-focused investors, while the On-Demand Continuing Education Program helps educate investors on private market topics. Blackstone's goal is to identify economic trends and invest in industry-leading businesses to generate strong returns.